AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源多模态对话模型

A batched offline inference oriented version of segment-anything

On the Hidden Mystery of OCR in Large Multimodal Models (OCRBench)

FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

DocLLM: A layout-aware generative language model for multimodal document understanding

DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financ…

OpenAI's Code Interpreter in your terminal, running locally

Fast Segment Anything

Segment Anything for Stable Diffusion WebUI

Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

Inpaint anything using Segment Anything and inpainting models.

An experimental open-source attempt to make GPT-4 fully autonomous.

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Painter & SegGPT Series: Vision Foundation Models from BAAI

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Instant neural graphics primitives: lightning fast NeRF and more

Robust Speech Recognition via Large-Scale Weak Supervision

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

A lightweight deep learning library

BANMo Building Animatable 3D Neural Models from Many Casual Videos

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard